Berlin Transport

Provides direct access to Berlin's public transportation data for searching stops, retrieving real-time departures, and planning optimal routes between locations.

The Berlin Transport MCP server provides AI assistants with direct access to Berlin's public transportation data through the VBB API. Built using Cloudflare Workers and Durable Objects, it exposes three key tools: searching for stops by name, retrieving upcoming departures from specific stops, and planning journeys between locations. The implementation uses the Model Context Protocol SDK to standardize interactions and returns structured JSON responses that include comprehensive transit information. This server is particularly useful for travel planning in Berlin, allowing AI systems to find nearby stations, check real-time departure schedules, and calculate optimal routes between destinations without leaving the conversation context.